Evidence map›Paper›PMID 37783805›Full record

ArticleNature cancer2023

Ex vivo drug response profiling for response and outcome prediction in hematologic malignancies: the prospective non-interventional SMARTrial.

Nora Liebers, Peter-Martin Bruch, Tobias Terzer, Miguel Hernandez-Hernandez, Nagarajan Paramasivam, Donnacha Fitzgerald, Heidi Altmann, Tobias Roider, Carolin Kolb, Mareike Knoll and 14 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Nature cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03488641 (Systematic and Mechanism-based Approach to Rational Treatment Trials of Blood Cancer), which is not on this map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
9.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03488641 completednot on this map

Systematic and Mechanism-based Approach to Rational Treatment Trials of Blood Cancer (SMARTrial)

TypeobservationalSponsorGerman Cancer Research CenterRan2018 to 2021Enrolled80ConditionsHematologic Diseases, TreatmentArmsex-vivo drug response assay
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
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  7. Genomic Subtype Influences BH3 Mimetic Drug Sensitivity and Synergy with Cytotoxic Chemotherapeutics in T-cell Acute Lymphoblastic Leukemia.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  15. Article
  16. Article
  17. Review
  18. Haematologica · 2025
    Article
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  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 9 institutions in 4 countries.

Nora Liebers *Department of Hematology, Oncology and Clinical Immunology, University Hospital Düsseldorf, Düsseldorf, Germany.
Peter-Martin Bruch *Department of Hematology, Oncology and Clinical Immunology, University Hospital Düsseldorf, Düsseldorf, Germany.ORCID 0000-0002-9992-3109
Tobias TerzerDivision of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Miguel Hernandez-HernandezDepartment of Medicine V, Heidelberg University Hospital, Heidelberg, Germany.
Nagarajan ParamasivamComputational Oncology Group, Molecular Precision Oncology Program, NCT Heidelberg and DKFZ, Heidelberg, Germany.
Donnacha FitzgeraldDepartment of Medicine V, Heidelberg University Hospital, Heidelberg, Germany.
Heidi AltmannUniversity Hospital TU Dresden, Dresden, Germany.
Tobias RoiderDepartment of Medicine V, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-6973-3531
Carolin KolbDepartment of Medicine V, Heidelberg University Hospital, Heidelberg, Germany.
Mareike KnollDepartment of Medicine V, Heidelberg University Hospital, Heidelberg, Germany.
Angela LenzeDepartment of Medicine V, Heidelberg University Hospital, Heidelberg, Germany.
Uwe PlatzbeckerLeipzig University Hospital, Leipzig, Germany.
Christoph RölligUniversity Hospital TU Dresden, Dresden, Germany.
Claudia BaldusDepartment of Internal Medicine II, University Hospital of Kiel, Kiel, Germany.ORCID 0000-0002-0748-834X
Hubert ServeDepartment of Internal Medicine II, University Hospital of Frankfurt Main, Frankfurt am Main, Germany.ORCID 0000-0001-8472-5516
Martin BornhäuserUniversity Hospital TU Dresden, Dresden, Germany.
Daniel HübschmannComputational Oncology Group, Molecular Precision Oncology Program, NCT Heidelberg and DKFZ, Heidelberg, Germany.ORCID 0000-0002-6041-7049
Carsten Müller-TidowDepartment of Medicine V, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-7166-5232
Friedrich StölzelDepartment of Internal Medicine II, University Hospital of Kiel, Kiel, Germany.ORCID 0000-0003-0653-5332
Wolfgang HuberMolecular Medicine Partnership Unit (MMPU), Heidelberg, Germany.ORCID 0000-0002-0474-2218
Axel BennerDivision of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Thorsten ZenzDepartment of Medical Oncology and Hematology, Universitätsspital & Universität Zürich, Zürich, Switzerland.ORCID 0000-0001-7890-9845
Junyan LuMolecular Medicine Partnership Unit (MMPU), Heidelberg, Germany.
Sascha DietrichDepartment of Hematology, Oncology and Clinical Immunology, University Hospital Düsseldorf, Düsseldorf, Germany. sascha.dietrich@embl.de.ORCID 0000-0002-0648-1832
European Molecular Biology Organization · DEHeidelberg University · DEGerman Cancer Research Center · DETechnische Universität Dresden · DEChristian-Albrechts-Universität zu Kiel · DEEuropean Bioinformatics Institute · GBGoethe University Frankfurt · DEUniversity Hospital Leipzig · DEUniversity of Zurich · CH

Funding

Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie (Federal Ministry for Education, Science, Research and Technology) 01ZX1506Deutsche Forschungsgemeinschaft (German Research Foundation) SFB873
6 · The paper itself

Abstract

Ex vivo drug response profiling is a powerful tool to study genotype-drug response associations and is being explored as a tool set for precision medicine in cancer. Here we conducted a prospective non-interventional trial to investigate feasibility of ex vivo drug response profiling for treatment guidance in hematologic malignancies (SMARTrial, NCT03488641 ). The primary endpoint to provide drug response profiling reports within 7 d was met in 91% of all study participants (N = 80). Secondary endpoint analysis revealed that ex vivo resistance to chemotherapeutic drugs predicted chemotherapy treatment failure in vivo. We confirmed the predictive value of ex vivo response to chemotherapy in a validation cohort of 95 individuals with acute myeloid leukemia treated with daunorubicin and cytarabine. Ex vivo drug response profiles improved ELN-22 risk stratification in individuals with adverse risk. We conclude that ex vivo drug response profiling is clinically feasible and has the potential to predict chemotherapy response in individuals with hematologic malignancies beyond clinically established genetic markers.

Indexed as

Hematologic NeoplasmsLeukemia, Myeloid, AcuteAntibiotics, AntineoplasticAntimetabolites, AntineoplasticCytarabineDaunorubicinHumansProspective StudiesTreatment OutcomeAntibiotics, AntineoplasticAntimetabolites, AntineoplasticCytarabineDaunorubicin

Identifiers

PMID37783805
PMCPMC10733146
OpenAlexW4387267048

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.